Evidence map›Paper›PMID 31779068›Full record

ArticleInternational journal of molecular sciences2019

Optimization of Data-Independent Acquisition Mass Spectrometry for Deep and Highly Sensitive Proteomic Analysis.

Yusuke Kawashima, Eiichiro Watanabe, Taichi Umeyama, Daisuke Nakajima, Masahira Hattori, Kenya Honda, Osamu Ohara

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yusuke KawashimaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba 292-0818, Japan.ORCID 0000-0002-9779-8199
Eiichiro WatanabeLaboratory for Gut Homeostasis, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.
Taichi UmeyamaLaboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.
Daisuke NakajimaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba 292-0818, Japan.
Masahira HattoriLaboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.
Kenya HondaLaboratory for Gut Homeostasis, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.
Osamu OharaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba 292-0818, Japan.ORCID 0000-0002-3328-9571

Funding

Japan Society for the Promotion of Science 17K18360
6 · The paper itself

Abstract

Data-independent acquisition (DIA)-mass spectrometry (MS)-based proteomic analysis overtop the existing data-dependent acquisition (DDA)-MS-based proteomic analysis to enable deep proteome coverage and precise relative quantitative analysis in single-shot liquid chromatography (LC)-MS/MS. However, DIA-MS-based proteomic analysis has not yet been optimized in terms of system robustness and throughput, particularly for its practical applications. We established a single-shot LC-MS/MS system with an MS measurement time of 90 min for a highly sensitive and deep proteomic analysis by optimizing the conditions of DIA and nanoLC. We identified 7020 and 4068 proteins from 200 ng and 10 ng, respectively, of tryptic floating human embryonic kidney cells 293 (HEK293F) cell digest by performing the constructed LC-MS method with a protein sequence database search. The numbers of identified proteins from 200 ng and 10 ng of tryptic HEK293F increased to 8509 and 5706, respectively, by searching the chromatogram library created by gas-phase fractionated DIA. Moreover, DIA protein quantification was highly reproducible, with median coefficients of variation of 4.3% in eight replicate analyses. We could demonstrate the power of this system by applying the proteomic analysis to detect subtle changes in protein profiles between cerebrums in germ-free and specific pathogen-free mice, which successfully showed that >40 proteins were differentially produced between the cerebrums in the presence or absence of bacteria.

Indexed as

Germ-Free LifeSpecific Pathogen-Free OrganismsAnimalsCerebrumChromatography, LiquidDatabases, ProteinGene Expression RegulationHEK293 CellsHumansMiceNanotechnologyProteomicsSoftwareTandem Mass Spectrometrydeep proteomicsDIAlabel-free quantificationoverlaping window DIAsingle shotSWATH

Identifiers

PMID31779068
PMCPMC6928715

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.